The ROC (receiver operating characteristic) curves are also used to present results for binary classification problems [1]}. We plot the ROC curve showing the sensitivity and the corresponding specificity points for every possible cut-off for the set in classification. The \(x\) -axis shows 1-specificity (false positive rate) and the \(y\) -axis shows sensitivity (true positive rate) for a chosen cut-off. A diagonal ROC curve means that the model predicts randomly.
